Introduction

Nowadays, online social networks (OSNs) are becoming more popular as technological advancement of digital devices is increasing rapidly. This development allows users to easily create their own personal network and enable them to upload their multimedia content such as digital images, videos, and audios online via various OSNs platforms through the internet. Unfortunately, this improvement has caused public posting of personal and sensitive information including date of birth, phone number, relationship status, and email and home addresses [1, 2]. Moreover, these sophisticated  technologies have caused an increase in digital crimes [3]. Digital images are used as clues for detecting certain crimes committed online. One main issue faced by digital image forensic personnel is image source identification. Source identification is a branch of digital image forensics that is widely discussed among academicians and industrial community members. There are a lot of studies and techniques been proposed to determine source of image via identification of device [4–6]. Thus, this paper focuses on camera identification and texture feature, as described in Section 2. Sections 3 and 4 present the experimental settings and analysis of the technique used for source camera identification, particularly for OSN images. Section 5 discusses and concludes the findings in this paper.